Robust stability for stochastic interval Hopfield neural networks with time delays

In this paper, the robust stability for a kind of stochastic interval delayed Hopfield cellular neural networks is investigated by means of the Itô formula, Razumikhin theorems, Lyapunov function and norm inequalities. several simple sufficient conditions are obtained which guarantee the robust stability of the stochastic interval delayed Hopfield cellular neural networks. some recent results reported in the literature are generalized. Furthermore, that a Remark and a kind of equivalent description of this stochastic interval delayed Hopfield cellular neural networks are also presented.